A Novel Long-Term Noise Prediction System Based on $\alpha$DTW-DCRNN Using Periodically Unaligned Spatiotemporal Distribution Sequences.
Qingtian ZengYu LiangGeng ChenHua DuanQiong WuPublished in: IEEE Syst. J. (2023)
Keyphrases
- long term
- short term
- dynamic time warping
- prediction accuracy
- prediction model
- distance measure
- noise level
- random noise
- hidden markov models
- extreme values
- uniformly distributed
- sequence matching
- noisy data
- prediction algorithm
- signal to noise ratio
- random variables
- multiple sequence alignments
- noise reduction
- neural network
- moving points
- space time
- noise model
- probability distribution
- moving objects
- gaussian distribution
- training and testing data
- physico chemical
- phylogenetic trees
- image noise
- gaussian noise
- spatial distribution
- sequential patterns
- input data
- pairwise